Efficiency of Text Mining of Accident Narratives By Accessing Predictive Performance

Veloori Chaitanya Lakshmi, P. Bala Krishna Prasad


This work portrays the utilization of content mining with a mix of methods to naturally find accident attributes that can educate a superior comprehension of the supporters of the accidents. The review assesses the viability of content mining of mischance stories by evaluating prescient execution for the expenses of outrageous accidents. The outcomes demonstrate that prescient exactness for accident costs altogether enhances using highlights found by content mining and prescient precision additionally enhances using current outfit strategies. Critically, this review likewise appears through case illustrations how the discoveries from content mining of the stories can enhance comprehension of the supporters of rail accidents in ways unrealistic through just settled field investigation of the accident reports.


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